Three-dimensional reconstruction of biliary tract from biplane projections

• Published in: Computer methods and programs in biomedicine Vol. 47; no. 1; pp. 21 - 33
• Main Authors: Ko, Chien-Chuan, Sun, Yung-Nien, Mao, Chi-Wu, Lin, Xi-Zhang
• Format: Journal Article
• Language: English
• Published: Shannon Elsevier Ireland Ltd 01.06.1995; Elsevier Science
• Subjects: Algorithms; Artificial intelligence; Biliary Tract - anatomy & histology; Biliary Tract - diagnostic imaging; Biological and medical sciences; Biplane projections; Cholangiopancreatography, Endoscopic Retrograde; Computerized, statistical medical data processing and models in biomedicine; Depth-first search; Dynamic programming; ERCP; General aspects. Methods; Humans; Image Processing, Computer-Assisted; Mathematical morphology; Medical sciences; Reproducibility of Results; Tomography, X-Ray Computed; Translucency; Biplane projections; Depth-first search; ERCP; Dynamic programming; Mathematical morphology; Artificial intelligence; Translucency; Biliary tract; 3D imaging; Radiodiagnosis; Cholangiography; Image processing; Digestive system; Image reconstruction; Biomedical data processing; Translucence; Computerized axial tomography; Computer aid; Biomedical engineering
• ISSN: 0169-2607; 1872-7565
• DOI: 10.1016/0169-2607(95)01636-8

Over the past few years, very little has been done in the area of 3-D reconstruction of the bile duct. Since the system in use for 3-D visualization of the biliary tree is built by surgical or autopsy materials, it generally cannot be applied to clinical diagnosis. In this paper, an algorithm for three-dimensional reconstruction of the biliary tree from two mutually orthogonal is presented to provide accurate and reproducible 3-D information of the biliary tree structure. It has been proven to be useful in diagnosis prior to operation or non-surgical treatment, particularly, obstructive stones can be visualized by using a transparency technique. As experiments demonstrated, the proposed method can be used as a useful tool for the visualization of 3-D structure of biliary tree in clinical applications.